rs-fMRI Connectome (Hagmann)

Whole brain functional connectivity of a subject based on anatomical (T1 image) and resting-state functional data (rs-fMRI 4D time-series). This tool follows the scheme described by [Hagmann et al. 2008].

The regions of interest (ROIs) are computed by performing a morphometric analysis in the input T1 image, which may be done either by Custom morphology or Freesurfertools. This section of the analysis includes image pre-processing, tissue segmentation, atlas-based parcellation and labeling, and volumetric analysis. For more information visit the Custom morphology / Freesurferhelp pages.The functional data is pre-processed (movement correction, slice timing correction, brain extraction, smoothing, intensity normalization, and band-pass filtering) and the average signal intensity of every ROI is computed for every time-point (after region dilation as described by [Hagmann et al. 2008]). The resulting time-series are de-trended and the global brain signal is regressed out before computing cross-correlation maps.The final correlation information is stored in a functional connectivity matrix representing the strength of functional connection across pairs of regions.

Preferred DICOM to NIfTI conversion tool (drop-down selection)The selected tool will be tried first to convert DICOM to NIfTI. If the conversion fails, the other options will be tried sequentially until a successful conversion.